AISB Convention 2015

Call for Symposium Proposals: The AISB Convention is an annual conference covering the range of AI and Cognitive Science, organised by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. The 2015 Con...


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Yasemin Erden on BBC

AISB Committee member, and Philosophy Programme Director and Lecturer, Dr Yasemin J. Erden interviewed for the BBC on 29 October 2013. Speaking on the Today programme for BBC Radio 4, as well as the Business Report for BBC world N...


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Mark Bishop on BBC ...

Mark Bishop, Chair of the Study of Artificial Intelligence and the Simulation of Behaviour, appeared on Newsnight to discuss the ethics of ‘killer robots’. He was approached to give his view on a report raising questions on the et...


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AISB YouTube Channel

The AISB has launched a YouTube channel: http://www.youtube.com/user/AISBTube (http://www.youtube.com/user/AISBTube). The channel currently holds a number of videos from the AISB 2010 Convention. Videos include the AISB round t...


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Lighthill Debates

The Lighthill debates from 1973 are now available on YouTube. You need to a flashplayer enabled browser to view this YouTube video  


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Notice

AISB opportunities Bulletin Item

Computer Vision Research Engineer in Human Screening/Recognition

http://www.dcs.qmul.ac.uk/staff/recruit/

Research Engineer  To Develop a Computer Vision System for Real-Time Human Screening/Profiling/Recognition, Queen Mary University of London, UK

Experience and qualifications:
C++, Matlab, OpenCV, XML, Linux, Visual Studio, a suitable PhD or Master degree in Video/image processing/Computer Vision and Machine learning, 3+yrs software development, be self-motivated, technically accomplished and a team worker.

Applications are invited for a research engineer to develop a real-time human screening and profiling system using computer vision and machine learning techniques. The work is part of a 15 months proof-of-concept project. Salary 34K per annum inclusive.

Successful candidate will join a team of researchers at the Queen Mary Vision Laboratory in the School of Electronic Engineering and Computer Science, Queen Mary University of London (http://www.dcs.qmul.ac.uk/research/vision/), specialising in video behaviour analysis and abnormality detection, people detection and tracking in crowded scenes, video object super-resolution for face recognition, human facial expression and body language modelling , video-audio avatar, dynamic scene background removal, and object categorisation.

Further information and application form at http://www.dcs.qmul.ac.uk/staff/recruit/. To apply, applicants should send electronically Prof Shaogang Gong (sgg@dcs.qmul.ac.uk) a completed application form with a CV. Interviews commence 10th February 2009.